On-line signature verification based on three-dimensional force signals at critical points
Lei Fang, Dangxiao Wang, Jiao Hui-min · 2010
It is an open problem to extract stable and distinguishable features from force signals of handwriting signatures. Based on the writing habits and kinematics of human, a hypothesis was proposed that force signal at critical points, e.g. the starting, the turning and the ending of a signature. etc, consists of personalized features which can distinguish signatures of different persons. Using stroke curvature, the critical points were extracted, and the 3-dimensional force signals at the critical points were also recorded. Employing Dynamic Time Warping (DTW) method, based on a preliminary signature database, verification experiments were carried out using the force signals of a whole stroke and the force signal at the critical points of the stroke respectively. The results look encouraging to verify the hypothesis.